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Sahajmeet Kaur
Sahajmeet Kaur

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Best LiteLLM Alternatives in 2026

LiteLLM is a genuinely good piece of software - free, open source, 100+ providers behind one OpenAI-compatible format, and it's the default a lot of teams reach for first. It's also a self-hosted proxy you run and patch yourself, with governance features you mostly assemble on top rather than get out of the box, and that gap is exactly where each of the seven options below picks up.

TL;DR

  • LiteLLM covers routing, cost tracking, and basic guardrails well, but RBAC, budget enforcement, MCP governance, and tool-level policy are things you build around it, not things it ships with.
  • TrueFoundry is the pick if you want that governance layer (RBAC, budgets with an audit-first rollout, PII/prompt-injection guardrails, a native MCP Gateway) without assembling it yourself, in a managed, hybrid, or fully self-hosted deployment.
  • That said - if you want zero cost and the largest OSS community, or you're locked into Cloudflare/Kong/Vercel/Databricks already, one of the other six is honestly the better call, and this list says exactly where.

1. TrueFoundry

TrueFoundry's AI Gateway is the top pick here for one specific reason: the things LiteLLM leaves for you to build - RBAC scoped to teams and users, budgets that support an audit-first rollout before you switch on hard blocking, and PII/prompt-injection/content-moderation guardrails - are first-class here instead. It also ships a full MCP Gateway with proper inbound/outbound auth handling, per-tool approval gates for destructive actions, and Cedar/OPA-based tool policy, which LiteLLM doesn't have an equivalent to at all.

Deployment is the other differentiator: managed, hybrid, or fully self-hosted in your own VPC, so "I don't want my traffic touching someone else's infra" isn't a reason to rule it out the way it might be with a purely hosted option.

Where it's not the right call: it isn't free, and it isn't a community-maintained open-source project - you're trusting a vendor's roadmap. If your actual requirement is zero cost and the biggest OSS community behind the tool, that's LiteLLM itself, not any alternative to it.

3. Portkey

Portkey's gateway went fully open source under Apache 2.0 in March 2026, after the company said it was processing over a trillion tokens a day through the hosted product. Self-hosters get the same feature set as the paid version now: circuit breakers, usage policies, an MCP gateway with OAuth 2.1, and the full model catalog with no license key. It's a genuinely strong option if governance-plus-open-source is the specific combination you want.

Where it's not the right call: Palo Alto Networks announced intent to acquire Portkey in April 2026, with the deal expected to close around July 2026. That's not disqualifying today, but it's a real question mark on a production bet, and worth weighing before you commit to its current open-source trajectory.

4. Bifrost

Bifrost is a Go-based open-source gateway from Maxim AI that markets itself specifically on raw performance - the README claims 50x faster throughput than LiteLLM with under 100 microseconds of overhead at 5,000 requests per second, plus adaptive load balancing and guardrails. Those are Bifrost's own published numbers, not independently reproduced here, so verify them against your own traffic pattern before treating the multiplier as fact.

Where it's not the right call: if raw throughput at extreme RPS isn't actually your bottleneck, you're adopting Go infrastructure for a performance margin you may never notice.

5. Cloudflare AI Gateway

Free on every Cloudflare plan, running on Cloudflare's own edge network, with caching, retries, model fallback, and analytics if your app already sits behind Cloudflare. Genuinely zero setup in that case.

Where it's not the right call: no built-in RBAC, no policy-as-code, no per-team cost attribution. It's routing and caching, not governance - fine if that's all you need, not a fit if it isn't.

6. Kong AI Gateway

If you already run Kong as your API gateway, adding AI routing as a plugin is less new surface area than standing up a separate LLM-specific tool.

Where it's not the right call: per Kong's own positioning, AI capability here is an extension on a general-purpose API gateway, not purpose-built for LLM traffic - no real latency-based routing, no cost-aware fallback, no built-in guardrails.

7. Vercel AI Gateway

One endpoint, zero markup on tokens even with your own provider keys, and it's a one-line config change if you're already using the Vercel AI SDK.

Where it's not the right call: it's a routing and spend-visibility layer, not a governance one - no per-team RBAC, no budget enforcement, no MCP server governance. Great if you're a small team shipping on Vercel; not built for company-wide policy across many teams.

Where LiteLLM alternatives converge and diverge

Every option above other than LiteLLM itself either adds governance LiteLLM doesn't ship with (TrueFoundry, Portkey) or trades governance away entirely for being embedded in an ecosystem you're probably already in (Cloudflare, Kong, Vercel). None of them are a strict upgrade over LiteLLM in every dimension - they're each solving for something LiteLLM specifically doesn't prioritize. This other rundown of LiteLLM alternatives is worth a look if you want a second set of eyes on the same question, and covers a couple of options not on this list.

Which gap actually pushed you to look at alternatives - governance, performance, or just wanting to not run infrastructure? Curious whether the reasons cluster the way I'd expect or whether there's a category I'm missing entirely.

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